M9. Master's Dissertation

The main goal of this module is the development of a project where students should apply the knowledge acquired in the previous modules and their own skills and abilities to solve a practical problem in Computer Vision. For students willing to pursue a PhD program after completion of the master, the master thesis should be the first stage of their PhD thesis.

To this end, students must be able to analyze the problem, pose an initial hypothesis to solve it, design an appropriate methodology to validate this hypothesis and draw relevant conclusions from their work. As a result, students must write a final report and pass a public defence before an evaluation committee where they should show their ability to communicate in a clear way their work. The expected total workload of this module thesis is about 300 hours.

Specific objectives

The students should acquire knowledge, skills and abilities in order to:

Apply their knowledge, understanding, and problem solving abilities in new or unfamiliar environments within broader (or multidisciplinary) contexts related to Computer Vision.

Elaborate and present a detailed and structured plan of work for their dissertation work.

Communicate their conclusions, and the knowledge and rationale underpinning these, to a specialist and non-specialist audience clearly and unambiguously.

Distinguish, in the process of their work, the area of the undertaken research and/or technological transfer (computer vision / artificial intelligence).

Evaluate the resources (staff, technological infrastructure, time) necessary to approach the solution for the problem.

Acquire the general competences of the scientific method and general problem-solving methodology:

Hypothesizing about the solution of a given problem

Experiment design and realization

Analysis of results or performance evaluation

Drawing conclusions about hypothesis or problem solution

Reporting results

And acquire personal competences for:

Self-Adapting to changes and updating during his/her professional life.

Assuming responsibilities when necessary.

Being professional and skilful as a scientist and as a technologist, with a clear consciousness of its human, economical, legal and ethical dimensions, and have a clear commitment to quality.